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Information Journal Paper

Title

EXPERIMENTAL EVALUATION OF ALGORITHMIC EFFORT ESTIMATION MODELS USING PROJECTS CLUSTERING

Pages

  15-26

Abstract

 One of the most important aspects of software project management is the estimation of cost and time required for running information system. Therefore, software managers try to carry estimation based on behavior, properties, and project restrictions. Software cost estimation refers to the process of development requirement prediction of software system. Various kinds of effort estimation patterns have been presented in recent years, which are focused on intelligent techniques. This study made use of clustering approach for estimating required effort in software projects. The effort estimation is carried out through SWR (Step Wise REGRESSION) and MLR (Multiple Linear REGRESSIONs) REGRESSION models as well as CART (Classification And REGRESSION Tree) method. The performance of these methods is experimentally evaluated using real software projects. Moreover, clustering of projects is applied to the estimation process. As indicated by the results of this study, the combination of clustering method and algorithmic estimation techniques can improve the accuracy of estimates.

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    APA: Copy

    FAMOORI, FARZANEH, KHATIBI BARDSIRI, VAHID, JAVADIAN MOGHADDAM, SHIMA, & FANIAN, FAKHROSADAT. (2016). EXPERIMENTAL EVALUATION OF ALGORITHMIC EFFORT ESTIMATION MODELS USING PROJECTS CLUSTERING. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, 2(3), 15-26. SID. https://sid.ir/paper/346265/en

    Vancouver: Copy

    FAMOORI FARZANEH, KHATIBI BARDSIRI VAHID, JAVADIAN MOGHADDAM SHIMA, FANIAN FAKHROSADAT. EXPERIMENTAL EVALUATION OF ALGORITHMIC EFFORT ESTIMATION MODELS USING PROJECTS CLUSTERING. JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY[Internet]. 2016;2(3):15-26. Available from: https://sid.ir/paper/346265/en

    IEEE: Copy

    FARZANEH FAMOORI, VAHID KHATIBI BARDSIRI, SHIMA JAVADIAN MOGHADDAM, and FAKHROSADAT FANIAN, “EXPERIMENTAL EVALUATION OF ALGORITHMIC EFFORT ESTIMATION MODELS USING PROJECTS CLUSTERING,” JOURNAL OF ADVANCES IN COMPUTER ENGINEERING AND TECHNOLOGY, vol. 2, no. 3, pp. 15–26, 2016, [Online]. Available: https://sid.ir/paper/346265/en

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